Good Times Restaurants (GTIM) Net Shares Issued and Repurchased (2010 - 2025)
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Analysis
Good Times Restaurants (GTIM) Net Shares Issued and Repurchased (2010 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Shares Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | -506.00 Mn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | -110.03 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | -528.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | -265.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | -200.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | -263.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | -12.36 Mn |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2025 | 61,000.00 |
| Apr 1, 2025 | 303,000.00 |
| Dec 31, 2024 | -164,000.00 |
| Jun 25, 2024 | 705,000.00 |
| Mar 26, 2024 | 1.08 Mn |
| Dec 26, 2023 | -438,000.00 |
| Mar 28, 2023 | 1.34 Mn |
| Dec 27, 2022 | -868,000.00 |
| Dec 28, 2021 | 6,000.00 |
| Dec 29, 2020 | 13,000.00 |
| Sep 29, 2020 | 150,000.00 |
| Mar 31, 2020 | 75,000.00 |
| Dec 31, 2019 | -75,000.00 |
| Dec 25, 2018 | 3,000.00 |
| Dec 31, 2015 | 7,000.00 |
| Mar 31, 2015 | 9.78 Mn |
| Dec 31, 2014 | 7,000.00 |
| Dec 31, 2010 | 1.73 Mn |
API Access
Good Times Restaurants Net Shares Issued and Repurchased API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=net-shares-issued-and-repurchased&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-shares-issued-and-repurchased", "ticker": "GTIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-shares-issued-and-repurchased&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();